Senior Market Data Engineer
Our client is a global quantitative and systematic investment firm operating across all liquid asset classes worldwide. The organisation is highly technology- and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns.
The role
You will work closely with researchers and quantitative developers to unlock insights from high-frequency market data and help power large-scale research and trading workflows.
Key responsibilities include:
* Partnering with research and quant teams to deliver insights from tick-by-tick market data
* Serving high-quality data to large-scale backtesting and research platforms
* Building and maintaining tick data pipelines in Python to enable fast, reliable access across asset classes
* Designing, implementing, and monitoring robust data quality frameworks across all pipelines
Your skillset:
* Strong knowledge of multiple financial asset classes
* Deep understanding of Level 2 and Level 3 tick-by-tick data
* Solid understanding of market structure (e.g., NBBO rules, secondary markets, dark pools)
* Familiarity with exchange protocols is a strong plus
* Strong Python skills with experience using data libraries; C++ is a plus